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Senior Data Scientist

IBM

Software and Technology Jobs

Senior Data Scientist

full-timePosted: Dec 12, 2025

Job Description

Senior Data Scientist

📋 Job Overview

As a Senior Data Scientist at IBM, you will work in our Consulting Client Innovation Centers, delivering technical expertise to clients globally. Your role involves designing and implementing data pipelines, developing search systems, and optimizing ML models to enhance chatbot functionality, particularly in NLP and RAG. You will also evaluate model performance and collaborate with analysts to align technical metrics with business goals.

📍 Location: Giza, EG

💼 Career Level: Professional

🎯 Key Responsibilities

  • Design and implement data pipelines for collecting, processing, and transforming data relevant for RAG and model evaluation
  • Develop and manage data indexing and search systems (e.g., Vector Databases, Elasticsearch, Pinecone) for efficient Retrieval in RAG
  • Select, train, and optimize ML models to enhance chatbot functionality (e.g., for intent understanding, entity extraction, sentiment analysis, if relevant)
  • Design and implement methodologies for evaluating the performance of RAG models, conversational flows, and the overall chatbot user experience
  • Monitor model performance in production and implement strategies for retraining and improvement
  • Collaborate with Business/Technical Analysts to understand business metrics and translate them into technical metrics

✅ Required Qualifications

  • Minimum of 4 years of experience in Machine Learning Engineering or Data Science with an emphasis on NLP
  • Expert knowledge of Python and relevant ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers)
  • In-depth knowledge of NLP and RAG (Retrieval Augmented Generation) concepts
  • Experience with vector databases and search engines (e.g., Milvus, Pinecone, Elasticsearch)
  • Practical experience with GCP AI/ML services (Vertex AI, BigQuery ML, Cloud Natural Language API, Cloud AI Platform)
  • Experience with data pipelines and ETL processes
  • Strong analytical skills and the ability to interpret complex datasets
  • Experience with A/B testing and experimental design for ML models

⭐ Preferred Qualifications

  • Google certification 'Generative AI Leader', 'Data Practitioner', 'Machine Learning Engineer', 'Cloud Database Engineer', 'Data Engineer', 'Cloud Security Engineer'

🛠️ Required Skills

  • Python
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Hugging Face Transformers
  • NLP
  • RAG
  • Vector Databases
  • Elasticsearch
  • Pinecone
  • Milvus
  • GCP AI/ML services
  • Vertex AI
  • BigQuery ML
  • Cloud Natural Language API
  • Cloud AI Platform
  • Data pipelines
  • ETL processes
  • Analytical skills
  • A/B testing
  • Experimental design
  • Collaboration
  • Business metrics translation

🎁 Benefits & Perks

  • Opportunity to learn and develop career
  • Encouragement to be courageous and experiment daily
  • Continuous trust and support in an inclusive environment
  • Flexible working patterns
  • Equal-opportunity employment

Locations

  • Giza, EG, India

Salary

Estimated Salary Rangemedium confidence

2,500,000 - 4,200,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • TensorFlowintermediate
  • PyTorchintermediate
  • scikit-learnintermediate
  • Hugging Face Transformersintermediate
  • NLPintermediate
  • RAGintermediate
  • Vector Databasesintermediate
  • Elasticsearchintermediate
  • Pineconeintermediate
  • Milvusintermediate
  • GCP AI/ML servicesintermediate
  • Vertex AIintermediate
  • BigQuery MLintermediate
  • Cloud Natural Language APIintermediate
  • Cloud AI Platformintermediate
  • Data pipelinesintermediate
  • ETL processesintermediate
  • Analytical skillsintermediate
  • A/B testingintermediate
  • Experimental designintermediate
  • Collaborationintermediate
  • Business metrics translationintermediate

Required Qualifications

  • Minimum of 4 years of experience in Machine Learning Engineering or Data Science with an emphasis on NLP (experience)
  • Expert knowledge of Python and relevant ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers) (experience)
  • In-depth knowledge of NLP and RAG (Retrieval Augmented Generation) concepts (experience)
  • Experience with vector databases and search engines (e.g., Milvus, Pinecone, Elasticsearch) (experience)
  • Practical experience with GCP AI/ML services (Vertex AI, BigQuery ML, Cloud Natural Language API, Cloud AI Platform) (experience)
  • Experience with data pipelines and ETL processes (experience)
  • Strong analytical skills and the ability to interpret complex datasets (experience)
  • Experience with A/B testing and experimental design for ML models (experience)

Preferred Qualifications

  • Google certification 'Generative AI Leader', 'Data Practitioner', 'Machine Learning Engineer', 'Cloud Database Engineer', 'Data Engineer', 'Cloud Security Engineer' (experience)

Responsibilities

  • Design and implement data pipelines for collecting, processing, and transforming data relevant for RAG and model evaluation
  • Develop and manage data indexing and search systems (e.g., Vector Databases, Elasticsearch, Pinecone) for efficient Retrieval in RAG
  • Select, train, and optimize ML models to enhance chatbot functionality (e.g., for intent understanding, entity extraction, sentiment analysis, if relevant)
  • Design and implement methodologies for evaluating the performance of RAG models, conversational flows, and the overall chatbot user experience
  • Monitor model performance in production and implement strategies for retraining and improvement
  • Collaborate with Business/Technical Analysts to understand business metrics and translate them into technical metrics

Benefits

  • general: Opportunity to learn and develop career
  • general: Encouragement to be courageous and experiment daily
  • general: Continuous trust and support in an inclusive environment
  • general: Flexible working patterns
  • general: Equal-opportunity employment

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IBM logo

Senior Data Scientist

IBM

Software and Technology Jobs

Senior Data Scientist

full-timePosted: Dec 12, 2025

Job Description

Senior Data Scientist

📋 Job Overview

As a Senior Data Scientist at IBM, you will work in our Consulting Client Innovation Centers, delivering technical expertise to clients globally. Your role involves designing and implementing data pipelines, developing search systems, and optimizing ML models to enhance chatbot functionality, particularly in NLP and RAG. You will also evaluate model performance and collaborate with analysts to align technical metrics with business goals.

📍 Location: Giza, EG

💼 Career Level: Professional

🎯 Key Responsibilities

  • Design and implement data pipelines for collecting, processing, and transforming data relevant for RAG and model evaluation
  • Develop and manage data indexing and search systems (e.g., Vector Databases, Elasticsearch, Pinecone) for efficient Retrieval in RAG
  • Select, train, and optimize ML models to enhance chatbot functionality (e.g., for intent understanding, entity extraction, sentiment analysis, if relevant)
  • Design and implement methodologies for evaluating the performance of RAG models, conversational flows, and the overall chatbot user experience
  • Monitor model performance in production and implement strategies for retraining and improvement
  • Collaborate with Business/Technical Analysts to understand business metrics and translate them into technical metrics

✅ Required Qualifications

  • Minimum of 4 years of experience in Machine Learning Engineering or Data Science with an emphasis on NLP
  • Expert knowledge of Python and relevant ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers)
  • In-depth knowledge of NLP and RAG (Retrieval Augmented Generation) concepts
  • Experience with vector databases and search engines (e.g., Milvus, Pinecone, Elasticsearch)
  • Practical experience with GCP AI/ML services (Vertex AI, BigQuery ML, Cloud Natural Language API, Cloud AI Platform)
  • Experience with data pipelines and ETL processes
  • Strong analytical skills and the ability to interpret complex datasets
  • Experience with A/B testing and experimental design for ML models

⭐ Preferred Qualifications

  • Google certification 'Generative AI Leader', 'Data Practitioner', 'Machine Learning Engineer', 'Cloud Database Engineer', 'Data Engineer', 'Cloud Security Engineer'

🛠️ Required Skills

  • Python
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Hugging Face Transformers
  • NLP
  • RAG
  • Vector Databases
  • Elasticsearch
  • Pinecone
  • Milvus
  • GCP AI/ML services
  • Vertex AI
  • BigQuery ML
  • Cloud Natural Language API
  • Cloud AI Platform
  • Data pipelines
  • ETL processes
  • Analytical skills
  • A/B testing
  • Experimental design
  • Collaboration
  • Business metrics translation

🎁 Benefits & Perks

  • Opportunity to learn and develop career
  • Encouragement to be courageous and experiment daily
  • Continuous trust and support in an inclusive environment
  • Flexible working patterns
  • Equal-opportunity employment

Locations

  • Giza, EG, India

Salary

Estimated Salary Rangemedium confidence

2,500,000 - 4,200,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • TensorFlowintermediate
  • PyTorchintermediate
  • scikit-learnintermediate
  • Hugging Face Transformersintermediate
  • NLPintermediate
  • RAGintermediate
  • Vector Databasesintermediate
  • Elasticsearchintermediate
  • Pineconeintermediate
  • Milvusintermediate
  • GCP AI/ML servicesintermediate
  • Vertex AIintermediate
  • BigQuery MLintermediate
  • Cloud Natural Language APIintermediate
  • Cloud AI Platformintermediate
  • Data pipelinesintermediate
  • ETL processesintermediate
  • Analytical skillsintermediate
  • A/B testingintermediate
  • Experimental designintermediate
  • Collaborationintermediate
  • Business metrics translationintermediate

Required Qualifications

  • Minimum of 4 years of experience in Machine Learning Engineering or Data Science with an emphasis on NLP (experience)
  • Expert knowledge of Python and relevant ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers) (experience)
  • In-depth knowledge of NLP and RAG (Retrieval Augmented Generation) concepts (experience)
  • Experience with vector databases and search engines (e.g., Milvus, Pinecone, Elasticsearch) (experience)
  • Practical experience with GCP AI/ML services (Vertex AI, BigQuery ML, Cloud Natural Language API, Cloud AI Platform) (experience)
  • Experience with data pipelines and ETL processes (experience)
  • Strong analytical skills and the ability to interpret complex datasets (experience)
  • Experience with A/B testing and experimental design for ML models (experience)

Preferred Qualifications

  • Google certification 'Generative AI Leader', 'Data Practitioner', 'Machine Learning Engineer', 'Cloud Database Engineer', 'Data Engineer', 'Cloud Security Engineer' (experience)

Responsibilities

  • Design and implement data pipelines for collecting, processing, and transforming data relevant for RAG and model evaluation
  • Develop and manage data indexing and search systems (e.g., Vector Databases, Elasticsearch, Pinecone) for efficient Retrieval in RAG
  • Select, train, and optimize ML models to enhance chatbot functionality (e.g., for intent understanding, entity extraction, sentiment analysis, if relevant)
  • Design and implement methodologies for evaluating the performance of RAG models, conversational flows, and the overall chatbot user experience
  • Monitor model performance in production and implement strategies for retraining and improvement
  • Collaborate with Business/Technical Analysts to understand business metrics and translate them into technical metrics

Benefits

  • general: Opportunity to learn and develop career
  • general: Encouragement to be courageous and experiment daily
  • general: Continuous trust and support in an inclusive environment
  • general: Flexible working patterns
  • general: Equal-opportunity employment

Target Your Resume for "Senior Data Scientist" , IBM

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Data Scientist" , IBM

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data & AnalyticsData & Analytics

Answer 10 quick questions to check your fit for Senior Data Scientist @ IBM.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.